As discussed in the class, implement two programs that estimate the solution of a system of linear equations as stated below. First, set the coefficient matrix A, the variable vector X, and the outcome vector b with known values such that Ax = b. You may use an off- the-shelf random number generator function to create A and x matrices. You must provide some discussions, math formulations, screenshots of your code and results. Also, mention the dimensions of all matrices as required. b. Obtain the sum of squared error (goodness of the estimation) of this closed-form solution, E = (xi X)^2, where n is the total number of elements in the solution x vector As discussed in the class, implement two programs that estimate the solution of a system of linear equations as stated below. First, set the coefficient matrix A, the variable vector X, and the outcome vector b with known values such that Ax = b. You may use an off- the-shelf random number generator function to create A and x matrices. You must provide some discussions, math formulations, screenshots of your code and results. Also, mention the dimensions of all matrices as required. b. Obtain the sum of squared error (goodness of the estimation) of this closed-form solution, E = (xi X)^2, where n is the total number of elements in the solution x vector